Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 204 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 16.1 KiB |
| Average record size in memory | 80.6 B |
Variable types
| NUM | 9 |
|---|---|
| CAT | 1 |
Reproduction
| Analysis started | 2020-11-13 02:26:07.667813 |
|---|---|
| Analysis finished | 2020-11-13 02:26:28.881641 |
| Duration | 21.21 seconds |
| Version | pandas-profiling v2.8.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
DATE has unique values | Unique |
resConstruct_spending has unique values | Unique |
| Distinct count | 204 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| 2012-01-01 | 1 |
|---|---|
| 2015-02-01 | 1 |
| 2015-01-01 | 1 |
| 2014-09-01 | 1 |
| 2004-06-01 | 1 |
| Other values (199) |
| Value | Count | Frequency (%) | |
| 2012-01-01 | 1 | 0.5% | |
| 2015-02-01 | 1 | 0.5% | |
| 2015-01-01 | 1 | 0.5% | |
| 2014-09-01 | 1 | 0.5% | |
| 2004-06-01 | 1 | 0.5% | |
| 2005-01-01 | 1 | 0.5% | |
| 2016-08-01 | 1 | 0.5% | |
| 2016-11-01 | 1 | 0.5% | |
| 2003-12-01 | 1 | 0.5% | |
| 2017-06-01 | 1 | 0.5% | |
| Other values (194) | 194 | 95.1% |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
uspop_growth
Real number (ℝ≥0)
| Distinct count | 17 |
|---|---|
| Unique (%) | 8.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.8036695001374382 |
|---|---|
| Minimum | 0.5223373578996761 |
| Maximum | 0.9642539171360748 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 0.5223373579 |
|---|---|
| 5-th percentile | 0.5223373579 |
| Q1 | 0.7200176887 |
| median | 0.8278460417 |
| Q3 | 0.9254839689 |
| 95-th percentile | 0.9642539171 |
| Maximum | 0.9642539171 |
| Range | 0.4419165592 |
| Interquartile range (IQR) | 0.2054662803 |
Descriptive statistics
| Standard deviation | 0.1275220537 |
|---|---|
| Coefficient of variation (CV) | 0.1586747459 |
| Kurtosis | -0.7935385078 |
| Mean | 0.8036695001 |
| Median Absolute Deviation (MAD) | 0.1005770445 |
| Skewness | -0.4425544566 |
| Sum | 163.948578 |
| Variance | 0.01626187418 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0.9642539171 | 12 | 5.9% | |
| 0.7275176958 | 12 | 5.9% | |
| 0.8594817128 | 12 | 5.9% | |
| 0.8278460417 | 12 | 5.9% | |
| 0.9277974857 | 12 | 5.9% | |
| 0.7200176887 | 12 | 5.9% | |
| 0.9254839689 | 12 | 5.9% | |
| 0.6310078932 | 12 | 5.9% | |
| 0.7306411782 | 12 | 5.9% | |
| 0.6867731556 | 12 | 5.9% | |
| Other values (7) | 84 | 41.2% |
| Value | Count | Frequency (%) | |
| 0.5223373579 | 12 | 5.9% | |
| 0.6310078932 | 12 | 5.9% | |
| 0.6867731556 | 12 | 5.9% | |
| 0.7166694134 | 12 | 5.9% | |
| 0.7200176887 | 12 | 5.9% |
| Value | Count | Frequency (%) | |
| 0.9642539171 | 12 | 5.9% | |
| 0.9510552428 | 12 | 5.9% | |
| 0.9458652873 | 12 | 5.9% | |
| 0.9277974857 | 12 | 5.9% | |
| 0.9254839689 | 12 | 5.9% |
med_hIncome
Real number (ℝ≥0)
| Distinct count | 17 |
|---|---|
| Unique (%) | 8.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 59229.470588235294 |
|---|---|
| Minimum | 55900.0 |
| Maximum | 63179.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 55900 |
|---|---|
| 5-th percentile | 55900 |
| Q1 | 57856 |
| median | 59286 |
| Q3 | 60178 |
| 95-th percentile | 63179 |
| Maximum | 63179 |
| Range | 7279 |
| Interquartile range (IQR) | 2322 |
Descriptive statistics
| Standard deviation | 2080.616045 |
|---|---|
| Coefficient of variation (CV) | 0.03512805407 |
| Kurtosis | -0.7020095558 |
| Mean | 59229.47059 |
| Median Absolute Deviation (MAD) | 1430 |
| Skewness | 0.1707949454 |
| Sum | 12082812 |
| Variance | 4328963.127 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 56006 | 12 | 5.9% | |
| 56873 | 12 | 5.9% | |
| 57856 | 12 | 5.9% | |
| 60178 | 12 | 5.9% | |
| 56969 | 12 | 5.9% | |
| 61779 | 12 | 5.9% | |
| 58400 | 12 | 5.9% | |
| 59286 | 12 | 5.9% | |
| 62626 | 12 | 5.9% | |
| 59901 | 12 | 5.9% | |
| Other values (7) | 84 | 41.2% |
| Value | Count | Frequency (%) | |
| 55900 | 12 | 5.9% | |
| 56006 | 12 | 5.9% | |
| 56873 | 12 | 5.9% | |
| 56969 | 12 | 5.9% | |
| 57856 | 12 | 5.9% |
| Value | Count | Frequency (%) | |
| 63179 | 12 | 5.9% | |
| 62626 | 12 | 5.9% | |
| 61779 | 12 | 5.9% | |
| 60985 | 12 | 5.9% | |
| 60178 | 12 | 5.9% |
rentl_vacnyRate
Real number (ℝ≥0)
| Distinct count | 33 |
|---|---|
| Unique (%) | 16.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.888235294117646 |
|---|---|
| Minimum | 6.6 |
| Maximum | 11.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 6.6 |
|---|---|
| 5-th percentile | 6.8 |
| Q1 | 7.475 |
| median | 9.4 |
| Q3 | 9.925 |
| 95-th percentile | 10.6 |
| Maximum | 11.1 |
| Range | 4.5 |
| Interquartile range (IQR) | 2.45 |
Descriptive statistics
| Standard deviation | 1.311847801 |
|---|---|
| Coefficient of variation (CV) | 0.1475937301 |
| Kurtosis | -1.251129731 |
| Mean | 8.888235294 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | -0.4122879429 |
| Sum | 1813.2 |
| Variance | 1.720944654 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 10.1 | 18 | 8.8% | |
| 7 | 15 | 7.4% | |
| 9.8 | 12 | 5.9% | |
| 9.9 | 12 | 5.9% | |
| 9.6 | 12 | 5.9% | |
| 9.4 | 9 | 4.4% | |
| 6.8 | 9 | 4.4% | |
| 8.6 | 9 | 4.4% | |
| 10.6 | 9 | 4.4% | |
| 7.1 | 6 | 2.9% | |
| Other values (23) | 93 | 45.6% |
| Value | Count | Frequency (%) | |
| 6.6 | 3 | 1.5% | |
| 6.7 | 3 | 1.5% | |
| 6.8 | 9 | 4.4% | |
| 6.9 | 6 | 2.9% | |
| 7 | 15 | 7.4% |
| Value | Count | Frequency (%) | |
| 11.1 | 3 | 1.5% | |
| 10.7 | 3 | 1.5% | |
| 10.6 | 9 | 4.4% | |
| 10.4 | 3 | 1.5% | |
| 10.3 | 3 | 1.5% |
unemplt_rate
Real number (ℝ≥0)
| Distinct count | 56 |
|---|---|
| Unique (%) | 27.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.189705882352942 |
|---|---|
| Minimum | 3.7 |
| Maximum | 10.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 3.7 |
|---|---|
| 5-th percentile | 4.1 |
| Q1 | 4.875 |
| median | 5.7 |
| Q3 | 7.525 |
| 95-th percentile | 9.585 |
| Maximum | 10 |
| Range | 6.3 |
| Interquartile range (IQR) | 2.65 |
Descriptive statistics
| Standard deviation | 1.779063215 |
|---|---|
| Coefficient of variation (CV) | 0.2874229 |
| Kurtosis | -0.6808490223 |
| Mean | 6.189705882 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.7567137459 |
| Sum | 1262.7 |
| Variance | 3.165065923 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 5 | 14 | 6.9% | |
| 4.7 | 12 | 5.9% | |
| 5.7 | 10 | 4.9% | |
| 4.9 | 8 | 3.9% | |
| 4.4 | 8 | 3.9% | |
| 5.8 | 8 | 3.9% | |
| 5.4 | 8 | 3.9% | |
| 6.1 | 7 | 3.4% | |
| 9 | 7 | 3.4% | |
| 5.6 | 7 | 3.4% | |
| Other values (46) | 115 | 56.4% |
| Value | Count | Frequency (%) | |
| 3.7 | 2 | 1.0% | |
| 3.8 | 4 | 2.0% | |
| 3.9 | 1 | 0.5% | |
| 4 | 3 | 1.5% | |
| 4.1 | 4 | 2.0% |
| Value | Count | Frequency (%) | |
| 10 | 1 | 0.5% | |
| 9.9 | 4 | 2.0% | |
| 9.8 | 4 | 2.0% | |
| 9.6 | 2 | 1.0% | |
| 9.5 | 4 | 2.0% |
int_rate
Real number (ℝ≥0)
| Distinct count | 25 |
|---|---|
| Unique (%) | 12.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.000392156862745 |
|---|---|
| Minimum | 0.5 |
| Maximum | 6.25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 0.5 |
|---|---|
| 5-th percentile | 0.5 |
| Q1 | 0.75 |
| median | 1.25 |
| Q3 | 2.3125 |
| 95-th percentile | 6.25 |
| Maximum | 6.25 |
| Range | 5.75 |
| Interquartile range (IQR) | 1.5625 |
Descriptive statistics
| Standard deviation | 1.740818799 |
|---|---|
| Coefficient of variation (CV) | 0.8702387646 |
| Kurtosis | 0.692486302 |
| Mean | 2.000392157 |
| Median Absolute Deviation (MAD) | 0.5 |
| Skewness | 1.380410738 |
| Sum | 408.08 |
| Variance | 3.030450092 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0.75 | 71 | 34.8% | |
| 2.25 | 16 | 7.8% | |
| 1.25 | 15 | 7.4% | |
| 2 | 15 | 7.4% | |
| 0.5 | 14 | 6.9% | |
| 6.25 | 14 | 6.9% | |
| 1 | 12 | 5.9% | |
| 1.75 | 6 | 2.9% | |
| 2.75 | 5 | 2.5% | |
| 2.5 | 5 | 2.5% | |
| Other values (15) | 31 | 15.2% |
| Value | Count | Frequency (%) | |
| 0.5 | 14 | 6.9% | |
| 0.75 | 71 | 34.8% | |
| 0.83 | 1 | 0.5% | |
| 1 | 12 | 5.9% | |
| 1.25 | 15 | 7.4% |
| Value | Count | Frequency (%) | |
| 6.25 | 14 | 6.9% | |
| 6 | 1 | 0.5% | |
| 5.75 | 3 | 1.5% | |
| 5.5 | 2 | 1.0% | |
| 5.25 | 2 | 1.0% |
cpi_rent
Real number (ℝ≥0)
| Distinct count | 203 |
|---|---|
| Unique (%) | 99.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 253.11552450980395 |
|---|---|
| Minimum | 197.0 |
| Maximum | 324.815 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 197 |
|---|---|
| 5-th percentile | 202.075 |
| Q1 | 222.75 |
| median | 249.109 |
| Q3 | 278.24475 |
| 95-th percentile | 315.20365 |
| Maximum | 324.815 |
| Range | 127.815 |
| Interquartile range (IQR) | 55.49475 |
Descriptive statistics
| Standard deviation | 34.99803538 |
|---|---|
| Coefficient of variation (CV) | 0.1382690194 |
| Kurtosis | -0.8853458776 |
| Mean | 253.1155245 |
| Median Absolute Deviation (MAD) | 27.724 |
| Skewness | 0.2584560172 |
| Sum | 51635.567 |
| Variance | 1224.86248 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 248.999 | 2 | 1.0% | |
| 262.707 | 1 | 0.5% | |
| 324.815 | 1 | 0.5% | |
| 239.85 | 1 | 0.5% | |
| 208.3 | 1 | 0.5% | |
| 248.639 | 1 | 0.5% | |
| 283.13 | 1 | 0.5% | |
| 250.986 | 1 | 0.5% | |
| 272.733 | 1 | 0.5% | |
| 257.189 | 1 | 0.5% | |
| Other values (193) | 193 | 94.6% |
| Value | Count | Frequency (%) | |
| 197 | 1 | 0.5% | |
| 197.7 | 1 | 0.5% | |
| 198.2 | 1 | 0.5% | |
| 198.5 | 1 | 0.5% | |
| 198.8 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 324.815 | 1 | 0.5% | |
| 323.968 | 1 | 0.5% | |
| 322.628 | 1 | 0.5% | |
| 321.533 | 1 | 0.5% | |
| 320.651 | 1 | 0.5% |
homePrice_index
Real number (ℝ≥0)
| Distinct count | 203 |
|---|---|
| Unique (%) | 99.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 161.50988725490197 |
|---|---|
| Minimum | 116.438 |
| Maximum | 205.514 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 116.438 |
|---|---|
| 5-th percentile | 126.71735 |
| Q1 | 143.967 |
| median | 160.6725 |
| Q3 | 180.27575 |
| 95-th percentile | 196.8912 |
| Maximum | 205.514 |
| Range | 89.076 |
| Interquartile range (IQR) | 36.30875 |
Descriptive statistics
| Standard deviation | 21.93681016 |
|---|---|
| Coefficient of variation (CV) | 0.1358233266 |
| Kurtosis | -0.8679574479 |
| Mean | 161.5098873 |
| Median Absolute Deviation (MAD) | 17.736 |
| Skewness | 0.06677222649 |
| Sum | 32948.017 |
| Variance | 481.2236402 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 166.675 | 2 | 1.0% | |
| 158.674 | 1 | 0.5% | |
| 205.514 | 1 | 0.5% | |
| 174.513 | 1 | 0.5% | |
| 159.168 | 1 | 0.5% | |
| 173.474 | 1 | 0.5% | |
| 169.547 | 1 | 0.5% | |
| 159.38 | 1 | 0.5% | |
| 144.082 | 1 | 0.5% | |
| 165.721 | 1 | 0.5% | |
| Other values (193) | 193 | 94.6% |
| Value | Count | Frequency (%) | |
| 116.438 | 1 | 0.5% | |
| 116.918 | 1 | 0.5% | |
| 117.931 | 1 | 0.5% | |
| 119.211 | 1 | 0.5% | |
| 120.79 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 205.514 | 1 | 0.5% | |
| 205.506 | 1 | 0.5% | |
| 205.448 | 1 | 0.5% | |
| 205.264 | 1 | 0.5% | |
| 205.066 | 1 | 0.5% |
newHouse_starts
Real number (ℝ≥0)
| Distinct count | 194 |
|---|---|
| Unique (%) | 95.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1226.0441176470588 |
|---|---|
| Minimum | 478.0 |
| Maximum | 2273.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 478 |
|---|---|
| 5-th percentile | 547.2 |
| Q1 | 842.75 |
| median | 1156.5 |
| Q3 | 1649.25 |
| 95-th percentile | 2064.4 |
| Maximum | 2273 |
| Range | 1795 |
| Interquartile range (IQR) | 806.5 |
Descriptive statistics
| Standard deviation | 492.5248842 |
|---|---|
| Coefficient of variation (CV) | 0.4017187287 |
| Kurtosis | -1.002186976 |
| Mean | 1226.044118 |
| Median Absolute Deviation (MAD) | 408.5 |
| Skewness | 0.3511503715 |
| Sum | 250113 |
| Variance | 242580.7616 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 585 | 3 | 1.5% | |
| 1103 | 2 | 1.0% | |
| 594 | 2 | 1.0% | |
| 888 | 2 | 1.0% | |
| 1207 | 2 | 1.0% | |
| 1190 | 2 | 1.0% | |
| 1146 | 2 | 1.0% | |
| 1150 | 2 | 1.0% | |
| 1085 | 2 | 1.0% | |
| 708 | 1 | 0.5% | |
| Other values (184) | 184 | 90.2% |
| Value | Count | Frequency (%) | |
| 478 | 1 | 0.5% | |
| 490 | 1 | 0.5% | |
| 505 | 1 | 0.5% | |
| 517 | 1 | 0.5% | |
| 534 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 2273 | 1 | 0.5% | |
| 2207 | 1 | 0.5% | |
| 2151 | 1 | 0.5% | |
| 2147 | 1 | 0.5% | |
| 2144 | 1 | 0.5% |
| Distinct count | 204 |
|---|---|
| Unique (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 429611.6666666667 |
|---|---|
| Minimum | 244399.0 |
| Maximum | 684482.0 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 1.6 KiB |
Quantile statistics
| Minimum | 244399 |
|---|---|
| 5-th percentile | 251446.05 |
| Q1 | 317689.25 |
| median | 423222 |
| Q3 | 539943.25 |
| 95-th percentile | 632795.1 |
| Maximum | 684482 |
| Range | 440083 |
| Interquartile range (IQR) | 222254 |
Descriptive statistics
| Standard deviation | 124634.8868 |
|---|---|
| Coefficient of variation (CV) | 0.290110573 |
| Kurtosis | -1.096895431 |
| Mean | 429611.6667 |
| Median Absolute Deviation (MAD) | 114632 |
| Skewness | 0.07596560832 |
| Sum | 87640780 |
| Variance | 1.553385501e+10 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 581631 | 1 | 0.5% | |
| 419989 | 1 | 0.5% | |
| 251180 | 1 | 0.5% | |
| 404055 | 1 | 0.5% | |
| 562859 | 1 | 0.5% | |
| 376661 | 1 | 0.5% | |
| 579753 | 1 | 0.5% | |
| 549031 | 1 | 0.5% | |
| 463954 | 1 | 0.5% | |
| 621219 | 1 | 0.5% | |
| Other values (194) | 194 | 95.1% |
| Value | Count | Frequency (%) | |
| 244399 | 1 | 0.5% | |
| 245226 | 1 | 0.5% | |
| 247981 | 1 | 0.5% | |
| 248808 | 1 | 0.5% | |
| 248929 | 1 | 0.5% |
| Value | Count | Frequency (%) | |
| 684482 | 1 | 0.5% | |
| 681263 | 1 | 0.5% | |
| 676135 | 1 | 0.5% | |
| 674457 | 1 | 0.5% | |
| 670757 | 1 | 0.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| DATE | uspop_growth | med_hIncome | rentl_vacnyRate | unemplt_rate | int_rate | cpi_rent | homePrice_index | newHouse_starts | resConstruct_spending | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2002-01-01 | 0.927797 | 59360.0 | 9.1 | 5.7 | 1.25 | 197.0 | 116.438 | 1698.0 | 382979.0 |
| 1 | 2002-02-01 | 0.927797 | 59360.0 | 9.1 | 5.7 | 1.25 | 197.7 | 116.918 | 1829.0 | 391434.0 |
| 2 | 2002-03-01 | 0.927797 | 59360.0 | 9.1 | 5.7 | 1.25 | 198.2 | 117.931 | 1642.0 | 390942.0 |
| 3 | 2002-04-01 | 0.927797 | 59360.0 | 8.4 | 5.9 | 1.25 | 198.5 | 119.211 | 1592.0 | 404255.0 |
| 4 | 2002-05-01 | 0.927797 | 59360.0 | 8.4 | 5.8 | 1.25 | 198.8 | 120.790 | 1764.0 | 399164.0 |
| 5 | 2002-06-01 | 0.927797 | 59360.0 | 8.4 | 5.8 | 1.25 | 199.3 | 122.334 | 1717.0 | 407305.0 |
| 6 | 2002-07-01 | 0.927797 | 59360.0 | 9.0 | 5.8 | 1.25 | 199.8 | 123.687 | 1655.0 | 410171.0 |
| 7 | 2002-08-01 | 0.927797 | 59360.0 | 9.0 | 5.7 | 1.25 | 200.2 | 124.729 | 1633.0 | 404055.0 |
| 8 | 2002-09-01 | 0.927797 | 59360.0 | 9.0 | 5.7 | 1.25 | 200.7 | 125.493 | 1804.0 | 400059.0 |
| 9 | 2002-10-01 | 0.927797 | 59360.0 | 9.3 | 5.7 | 1.25 | 201.3 | 126.135 | 1648.0 | 402091.0 |
Last rows
| DATE | uspop_growth | med_hIncome | rentl_vacnyRate | unemplt_rate | int_rate | cpi_rent | homePrice_index | newHouse_starts | resConstruct_spending | |
|---|---|---|---|---|---|---|---|---|---|---|
| 194 | 2018-03-01 | 0.522337 | 63179.0 | 7.0 | 4.0 | 2.25 | 315.883 | 198.679 | 1335.0 | 583579.0 |
| 195 | 2018-04-01 | 0.522337 | 63179.0 | 6.8 | 4.0 | 2.25 | 316.763 | 200.723 | 1269.0 | 582427.0 |
| 196 | 2018-05-01 | 0.522337 | 63179.0 | 6.8 | 3.8 | 2.25 | 317.490 | 202.562 | 1334.0 | 581631.0 |
| 197 | 2018-06-01 | 0.522337 | 63179.0 | 6.8 | 4.0 | 2.50 | 318.318 | 204.154 | 1190.0 | 570891.0 |
| 198 | 2018-07-01 | 0.522337 | 63179.0 | 7.1 | 3.8 | 2.50 | 319.351 | 205.066 | 1195.0 | 562859.0 |
| 199 | 2018-08-01 | 0.522337 | 63179.0 | 7.1 | 3.8 | 2.50 | 320.651 | 205.448 | 1280.0 | 553691.0 |
| 200 | 2018-09-01 | 0.522337 | 63179.0 | 7.1 | 3.7 | 2.75 | 321.533 | 205.506 | 1246.0 | 553579.0 |
| 201 | 2018-10-01 | 0.522337 | 63179.0 | 6.6 | 3.8 | 2.75 | 322.628 | 205.514 | 1207.0 | 542175.0 |
| 202 | 2018-11-01 | 0.522337 | 63179.0 | 6.6 | 3.7 | 2.75 | 323.968 | 205.264 | 1204.0 | 539913.0 |
| 203 | 2018-12-01 | 0.522337 | 63179.0 | 6.6 | 3.9 | 3.00 | 324.815 | 204.864 | 1117.0 | 528124.0 |